Evidence map›Paper›PMID 41749267›Full record

ArticleMalaria journal2026

Community perceptions on climate change and its impacts on malaria transmission in South-eastern Tanzania.

Nancy C Nshatsi, Winifrida P Mponzi, Yohana A Mwalugelo, Dickson S Msaky, Stephen Simbeye, Erasto Rite, Fredros O Okumu, Anitha Philbert, Teckla Angelo, Emmanuel W Kaindoa

Abstract read
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Article in Malaria journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nancy C NshatsiEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P.O Box 53, Ifakara, Tanzania. nnshatsi@ihi.or.tz.
Winifrida P MponziEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P.O Box 53, Ifakara, Tanzania.
Yohana A MwalugeloEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P.O Box 53, Ifakara, Tanzania.
Dickson S MsakyEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P.O Box 53, Ifakara, Tanzania.
Stephen SimbeyeIfakara Town Council, P.O Box 433, Ifakara Morogoro, Tanzania.
Erasto RiteIfakara Town Council, P.O Box 433, Ifakara Morogoro, Tanzania.
Fredros O OkumuEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P.O Box 53, Ifakara, Tanzania.
Anitha PhilbertDepartment of Zoology and Wildlife Conservation, University of Dar es Salaam, P.O Box 35064, Dar es Salaam, Tanzania.
Teckla AngeloSchool of Life Sciences and Bioengineering, Nelson Mandela African Institute of Science and Technology, P.O Box 447, Arusha, Tanzania.
Emmanuel W KaindoaEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P.O Box 53, Ifakara, Tanzania. ekaindoa@ihi.or.tz.

Funding

Ifakara Health Institute Training Unit (Ref IHI/TC/BAG/2022/278).Wellcome Trust- Infectious Disease - Discretionary grant (Grant Number: 226703/Z/22/Z)
6 · The paper itself

Abstract

backgroundMalaria transmission is highly sensitive to climatic variability, as changes in temperatures and rainfall, directly influence mosquito breeding, survival, and parasite development. Extreme climatic events, such as flooding, further exacerbate malaria risk by disrupting access to preventive, diagnostic and treatment services. However, there is limited evidence on how communities in malaria-endemic settings perceive and respond to the health impacts of climate variability and change. This study explored community knowledge, perceptions, and practices related to the relationship between climate variability and malaria transmission in south-eastern Tanzania.

methodsAn explanatory mixed-methods cross-sectional study was conducted in malaria-endemic villages in south-eastern Tanzania. Quantitative data were collected through structured questionnaires administered to 384 community members, while qualitative data were obtained through 11 key informant interviews and 12 focus group discussions involving 72 participants. Survey data were analysed descriptively, and qualitative data were analysed thematically.

resultsAmong survey respondents, 86% reported experiencing climate-related changes, including altered cropping seasons, increased flooding, and a perceived rise in vector-borne diseases. Approximately two-thirds (67.5%) recognized a link between climate change and malaria transmission. Perceived vulnerability was high, with 59.5% reporting increased risk of vector-borne diseases and 70% indicating higher malaria occurrence during the rainy season compared to the dry season. Access to timely climate and health information was limited, as only 26.6% regularly received updates, despite 96.6% expressing a desire for such information. Findings from focus group discussions and key informant interviews corroborated these perceptions and highlighted the need for targeted community awareness and education on climate-related malaria risks.

conclusionsCommunity members demonstrated awareness of climate change and its perceived impacts on malaria and livelihoods. These findings highlight the importance of integrating community perspectives and local knowledge into climate-adaptation and malaria-control strategies to enhance locally relevant and community-centered resilience.

Indexed as

Climate ChangeHealth Knowledge, Attitudes, PracticeMalariaAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTanzaniaYoung AdultClimate adaptationClimate changeCommunity perceptionsMalaria transmission

Identifiers

PMID41749267
PMCPMC12950230

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.